Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited Jul 27, 2021

Created on Jul 27, 2021

This interactive bar chart displays the top 10 most populous countries in 2020 according to the United Nations World Population Prospects 2019. The visualization loads CSV data via `d3.csv` and uses React with hooks (`useState`, `useEffect`) to manage asynchronous data fetching and rendering. D3 v5 constructs the scales: `d3.scaleBand` for countries on the y-axis and `d3.scaleLinear` for population on the x-axis. The SVG output includes gridlines and tick labels via `xScale.ticks()`, with bars drawn as `rect` elements.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries using a bar chart rendered with React and D3. It shows a horizontal bar chart with axes, displaying population data from the United Nations World Population Prospects 2019 dataset. The chart uses React hooks (useState, useEffect) to load and process CSV data, while D3's scaleBand and scaleLinear handle the y-axis country categories and x-axis population values. SVG elements, including rect bars, text labels, and grid lines, are generated through React components with manual axis construction rather than D3 axis generators.

Yynwc2006

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as a horizontal bar chart, with axes rendered manually. It uses React hooks (`useState`, `useEffect`) to load and parse CSV data via `d3.csv`, then builds the chart with SVG elements. The x-axis is generated by mapping `d3.scaleLinear` ticks to SVG groups with lines and text, while the y-axis uses `d3.scaleBand` domain values for country labels. Bars are drawn as `rect` elements sized by population, showing the ranking without gridlines or interaction.

SSimón

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example shows the top 10 most populous countries as a bar chart with manually drawn axes, rendered as SVG. The code uses React hooks (useState and useEffect) to fetch and load CSV data from the United Nations World Population Prospects 2019 via d3.csv, then scales the bars with d3.scaleBand and d3.scaleLinear. Axes are constructed from xScale.ticks() and yScale.domain() to render gridlines, tick labels, and values. The visualization is purely declarative, with React managing the SVG elements and D3 handling data parsing and scales.

AAllen Wong

96% match

Loading thumbnail…

Fork of Axes with React & D3

A horizontal bar chart displays the top 10 most populous countries from the UN World Population Prospects 2019 dataset. The chart renders as an SVG using React components, with each bar’s length proportional to the 2020 population estimate. D3’s `scaleBand` and `scaleLinear` APIs position the categorical country labels and numeric population axis, respectively, while `.ticks()` generates gridlines and tick labels. A loading state is shown from React’s `useEffect` until data is fetched via D3’s `csv` parser.

TTheAnswer-Is-42

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using data from the United Nations World Population Prospects 2019. The chart displays axes rendered as SVG elements, with a linear scale for population values and a band scale for country labels. The code leverages React hooks (useState, useEffect, useCallback) to fetch and manage the CSV data, while using d3.csv, d3.scaleBand, and d3.scaleLinear for data processing and scaling. The visualization is rendered entirely through React components, producing SVG rects, lines, and text elements.

SSreekar Reddy

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example uses React and D3 to render a bar chart of the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. It shows the population values as horizontal bars, with axes drawn manually using D3 scales and SVG elements. The code employs `d3.csv` for data loading, `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and React hooks like `useState` and `useEffect` to manage data fetching. All visuals are rendered as SVG within a React component.

Bbillmccabeusa@hotmail.com

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart labeled with axes. It uses React hooks (useState, useEffect) to fetch and load CSV data from the United Nations World Population Prospects 2019, then renders bars via SVG rectangles. D3’s scaleBand and scaleLinear position the bars, while manually generated ticks and labels create the x and y axes without d3.axis. The chart updates after loading, with React managing the component state and D3 handling the data scaling and formatting.

NNick Hu

96% match

Loading thumbnail…

Fork of Axes with React & D3

This visualization displays the top 10 most populous countries in 2020 as a bar chart, using the United Nations World Population Prospects 2019 dataset loaded via `d3.csv`. It renders as an SVG with React managing the component state, while D3 provides `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and manual tick generation from `xScale.ticks()`. The chart includes grid lines and axis labels, but no axes components are used, showing a minimalist approach to chart construction.

EEdvard Ahlsén

96% match